`mnp.species_models.species_evaluation`

Module Contents

Classes

`SpeciesEvaluationParameters`
`SpeciesEvaluation`

Data

`ID_COLNAME`
`AREA_M_COLNAME`
`EFF_AREA_M_COLNAME`
`EFF_AREA_KP_COLNAME`
`IS_KP_COLNAME`
`EFF_AREA_KP_NORM_COLNAME`

API

mnp.species_models.species_evaluation.ID_COLNAME = 'id'

mnp.species_models.species_evaluation.AREA_M_COLNAME = 'area_m'

mnp.species_models.species_evaluation.EFF_AREA_M_COLNAME = 'effective_area_m'

mnp.species_models.species_evaluation.EFF_AREA_KP_COLNAME = 'effective_area_kp'

mnp.species_models.species_evaluation.IS_KP_COLNAME = 'is_key_population'

mnp.species_models.species_evaluation.EFF_AREA_KP_NORM_COLNAME = 'effective_area_kp_norm'

class mnp.species_models.species_evaluation.SpeciesEvaluationParameters

key_population_area: float = 1

possibly_viable_threshold: float = 1

viable_threshold: float = 1

small_pop_threshold_area: float = 500

small_pop_slope: float = 2

pxl_area: float = 0

class mnp.species_models.species_evaluation.SpeciesEvaluation(mnp_parameters: MNPParameters or None, species_code: str, hsi: mnp.species_models.habitat_suitability.HSI, clustering: mnp.species_models.clustering.ClusteringProcedure)

Initialization

population_array(array_type: str, only_keypopulations=False) → scipy.sparse.sparray | int

trait_info() → dict[str, float]

evaluate_metapopulations() → None

calculate()

update_viability_class()

update_results_dictionary()

results() → dict

summary_table_to_file(output_path)